DeepSeek R1 Distill Qwen 14B needs ~21.4 GB VRAM. MacBook Pro M4 Max 96GB has 69.1 GB. With Q4_K_M quantization, expect ~35 tok/s.
Operating mode
Interactive favors responsiveness, while light API and scale-out lean harder on serving readiness. The fit stays the same, but the recommendation lens changes.
Current mode
Balanced
Balanced for general local use. Keeps the ranking neutral across personal and serving workflows.
Select quantization to explore
Fit status
Runs well
Decode
35.4 tok/s
TTFT
5462 ms
Safe context
481K
Memory
21.4 GB / 69.1 GB
This setup is broadly balanced for this model.
Shared-memory contention still exists
The OS, browser, and inference runtime all compete for the same physical memory pool, so real-world headroom is less forgiving than raw capacity suggests.
| Workload | Grade | Fit | Decode | TTFT | Context |
|---|---|---|---|---|---|
| Chat | C | Runs well | 35.4 tok/s | 2979 ms | 481K |
| Coding | C | Runs well | 35.4 tok/s | 5462 ms | 481K |
| Agentic Coding | C | Runs well | 35.4 tok/s | 7945 ms | 481K |
| Reasoning | C | Runs well | 35.4 tok/s | 6455 ms | 481K |
| RAG | C | Runs well | 35.4 tok/s | 9931 ms | 481K |
How DeepSeek R1 Distill Qwen 14B (14B params) fits at each quantization level on MacBook Pro M4 Max 96GB (69.1 GB usable).
| Quant | Bits | VRAM | Quality | Fit |
|---|---|---|---|---|
Q2_K | 2 | 5.5 GB | Low | C40 |
Q3_K_S | 3 | 6.9 GB | Low | C41 |
NVFP4 | 4 |
Copy-paste commands to run DeepSeek R1 Distill Qwen 14B on your machine.
Run
lms load hf-unsloth--deepseek-r1-distill-qwen-14b-gguf && lms server startUpgrade options
Raises estimated decode speed by about 53%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Raises estimated decode speed by about 45%.
Adds memory headroom for longer context windows and future model growth.
~$3,999 MSRP
Yes, MacBook Pro M4 Max 96GB can run DeepSeek R1 Distill Qwen 14B with a C grade (Runs well). Expected decode speed: 35.4 tok/s.
DeepSeek R1 Distill Qwen 14B (14B parameters) requires approximately 21.4 GB of memory with Q4_K_M quantization.
The recommended quantization for DeepSeek R1 Distill Qwen 14B is Q4_K_M, which balances quality and memory efficiency.
On MacBook Pro M4 Max 96GB, DeepSeek R1 Distill Qwen 14B achieves approximately 35.4 tokens per second decode speed with a time-to-first-token of 5462ms using Q4_K_M quantization.
For coding workloads, DeepSeek R1 Distill Qwen 14B on MacBook Pro M4 Max 96GB receives a C grade with 35.4 tok/s and 481K context.
On MacBook Pro M4 Max 96GB, DeepSeek R1 Distill Qwen 14B can safely use up to 481K tokens of context. The model's official context limit is —, but available memory constrains the safe maximum.
Paste this snippet into any page to show a live fit card.
<iframe src="https://willitrunai.com/embed/hf-unsloth--deepseek-r1-distill-qwen-14b-gguf-on-m4-max-96gb" width="400" height="180" frameborder="0" style="border:none;border-radius:12px;overflow:hidden;" title="Will It Run AI — fit result"></iframe>
Preview:
7.8 GB |
| Medium |
| C41 |
Q4_K_M | 4 | 8.5 GB | Medium | C41 |
Q5_K_M | 5 | 10.1 GB | High | C41 |
Q6_K | 6 | 11.5 GB | High | C41 |
Q8_0 | 8 | 15.0 GB | Very High | C42 |
F16Best for your GPU | 16 | 28.7 GB | Maximum | C45 |
Not always. MacBook Pro M4 Max 96GB can often fit larger models thanks to unified memory, but a discrete GPU with dedicated high-bandwidth VRAM may still decode faster once the model fits. For this combination, the important distinction is capacity versus sustained throughput.